



'''simple docstring'''



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


lowerCAmelCase_  :							List[str]             =    logging.get_logger(__name__)

lowerCAmelCase_  :							Optional[Any]             =    {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase_  :							List[Any]             =    {
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

lowerCAmelCase_  :							Tuple             =    {
    'squeezebert/squeezebert-uncased': 512,
    'squeezebert/squeezebert-mnli': 512,
    'squeezebert/squeezebert-mnli-headless': 512,
}


lowerCAmelCase_  :							str             =    {
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}
class 						lowerCamelCase_				(       snake_case_      ):
						_lowerCAmelCase  : Tuple						  =					VOCAB_FILES_NAMES
						_lowerCAmelCase  : List[Any]						  =					PRETRAINED_VOCAB_FILES_MAP
						_lowerCAmelCase  : Optional[int]						  =					PRETRAINED_INIT_CONFIGURATION
						_lowerCAmelCase  : str						  =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_lowerCAmelCase  : Union[str, Any]						  =					SqueezeBertTokenizer







						def __init__(	self :   Dict					,     lowerCAmelCase__ :   Optional[int]=None					,     lowerCAmelCase__ :   List[Any]=None					,     lowerCAmelCase__ :   List[Any]=True					,     lowerCAmelCase__ :   Tuple="[UNK]"					,     lowerCAmelCase__ :   Union[str, Any]="[SEP]"					,     lowerCAmelCase__ :   List[str]="[PAD]"					,     lowerCAmelCase__ :   Any="[CLS]"					,     lowerCAmelCase__ :   Any="[MASK]"					,     lowerCAmelCase__ :   int=True					,     lowerCAmelCase__ :   Dict=None					,     **lowerCAmelCase__ :   Dict					,     ):

													"""simple docstring"""
													super().__init__(
													    lowerCAmelCase__					,     tokenizer_file=lowerCAmelCase__					,     do_lower_case=lowerCAmelCase__					,     unk_token=lowerCAmelCase__					,     sep_token=lowerCAmelCase__					,     pad_token=lowerCAmelCase__					,     cls_token=lowerCAmelCase__					,     mask_token=lowerCAmelCase__					,     tokenize_chinese_chars=lowerCAmelCase__					,     strip_accents=lowerCAmelCase__					,     **lowerCAmelCase__					,     )

													SCREAMING_SNAKE_CASE       :   str         =      json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
													if (
													    normalizer_state.get('''lowercase'''					,     lowerCAmelCase__					) != do_lower_case
													    or normalizer_state.get('''strip_accents'''					,     lowerCAmelCase__					) != strip_accents
													    or normalizer_state.get('''handle_chinese_chars'''					,     lowerCAmelCase__					) != tokenize_chinese_chars
													):
																				SCREAMING_SNAKE_CASE       :   Dict         =      getattr(lowerCAmelCase__					,     normalizer_state.pop('''type'''					)					)
																				SCREAMING_SNAKE_CASE       :   int         =      do_lower_case
																				SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      strip_accents
																				SCREAMING_SNAKE_CASE       :   List[Any]         =      tokenize_chinese_chars
																				SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      normalizer_class(**lowerCAmelCase__					)

													SCREAMING_SNAKE_CASE       :   int         =      do_lower_case







						def        __lowercase     (	self :   Tuple					,     lowerCAmelCase__ :   Any					,     lowerCAmelCase__ :   Tuple=None					):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      [self.cls_token_id] + token_ids_a + [self.sep_token_id]

													if token_ids_a:
																				output += token_ids_a + [self.sep_token_id]

													return output







						def        __lowercase     (	self :   Dict					,     lowerCAmelCase__ :   List[int]					,     lowerCAmelCase__ :   Optional[List[int]] = None					):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      [self.sep_token_id]
													SCREAMING_SNAKE_CASE       :   Tuple         =      [self.cls_token_id]
													if token_ids_a is None:
																				return len(cls + token_ids_a + sep					) * [0]
													return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]







						def        __lowercase     (	self :   Any					,     lowerCAmelCase__ :   str					,     lowerCAmelCase__ :   Optional[str] = None					):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      self._tokenizer.model.save(lowerCAmelCase__					,     name=lowerCAmelCase__					)
													return tuple(lowerCAmelCase__					)









'''simple docstring'''



def        UpperCAmelCase (    A	:					int					):
							if not isinstance(A       ,		A					):
														SCREAMING_SNAKE_CASE       :   List[str]         =      F"""Input value of [number={number}] must be an integer"""
														raise TypeError(A					)
							if number < 0:
														return False
							SCREAMING_SNAKE_CASE       :   List[str]         =      number * number
							while number > 0:
														if number % 10 != number_square % 10:
																					return False
														number //= 10
														number_square //= 10
							return True


if __name__ == "__main__":
							import doctest

							doctest.testmod()




